ABSTRACT
The recent emergence of azithromycin-resistant extensively drug-resistant (AziR-XDR) Salmonella enterica serovar Typhimurium (S. Typhimurium) in Taiwan poses a significant public health concern. To investigate the genetic basis and the evolutionary dynamics, we analyzed 60 isolates collected between 2007 and 2024, comprising multidrug-resistant (MDR, n = 45) and AziR-XDR (n = 15) isolates from human and animal sources. Whole-genome sequencing analysis revealed that 36 of 45 MDR isolates and all AziR-XDR isolates belonged to the HC50_13 subclone (differing by ≤ 50 core genes) and clustered within the HC20_152604 cluster (differing by ≤ 20 core genes) and the SNP cluster PDS000042202. All HC50_13 MDR isolates and AziR-XDR isolates carried core resistance genes including aac(3)-IId, aph(3’’)-Ib, aph(6)-Id, blaTEM-1, floR, sul2, tet(A) on type 2 IncC plasmids, and AziR-XDR isolates carried additional antimicrobial resistance genes (ARGs) on the plasmids, including blaDHA-1, dfrA17, mph(A), qnrB, and sul1, conferring additional resistance to azithromycin, trimethoprim, third-generation cephalosporins, and fluoroquinolones. AziR-XDR S. Typhimurium strains belonging to the HC50_13 subclone were initially identified in 2016 and have notably increased in Taiwan since 2021. The subclone was likely evolved from MDR ancestor strains by multiple IS26-mediated acquisitions of additional resistance cassettes. Our findings demonstrate how MDR S. Typhimurium can evolve locally into highly resistant strains. This underscores the need for genomic surveillance and coordinated antimicrobial stewardship in Taiwan and globally to prevent further dissemination of the highly resistant HC20_152604 clade.
KEYWORDS: non-typhoidal Salmonella (NTS), antimicrobial resistance, multidrug-resistant (MDR), extensively drug-resistant (XDR), azithromycin, resistance mechanism, molecular epidemiology, IncC plasmid
INTRODUCTION
Salmonella enterica serovar Typhimurium (S. Typhimurium) is a major zoonotic pathogen causing gastrointestinal and invasive infections worldwide. In Taiwan, S. Typhimurium has consistently ranked as the second most common non-typhoidal Salmonella (NTS) serovar responsible for human infections following S. Enteritidis (1). Alarmingly, S. Typhimurium isolates in Taiwan have shown substantially higher levels of antimicrobial resistance compared with those in many Western countries, such as Denmark (2). Multidrug-resistant (MDR) strains, defined as resistant to at least three different classes of antimicrobials, are prevalent in human and animal reservoirs (3).
Invasive S. Typhi infections have become increasingly difficult to treat due to the global spread of MDR and XDR strains (4–6). With resistance emerging to the traditional first-line antimicrobials (ampicillin, chloramphenicol, trimethoprim-sulfamethoxazole), fluoroquinolones, and third-generation cephalosporins, azithromycin has become one of the few remaining effective options; notably, it succeeded where carbapenem therapy failed in the only reported XDR S. Typhi case in Taiwan (7). Azithromycin has increasingly been used to treat invasive NTS infections (4); resistance has also escalated. In Taiwan, Salmonella has been found to harbor diverse azithromycin resistance mechanisms, including plasmid-borne erm(B), plasmid- and chromosome-borne mph(A), plasmid- and chromosome-borne erm(42), and efflux pump activation (8). The growing prevalence and diversity of these resistance determinants highlight the urgent need for sustained surveillance and molecular characterization to guide treatment and containment.
Whole-genome sequencing (WGS) has fundamentally changed bacterial genomics and clinical microbiology (9). It enables simultaneous pathogen identification, high-resolution analysis of population structure and evolutionary dynamics, and detection of antimicrobial resistance and virulence determinants. The routine use of WGS in bacterial surveillance has highlighted the need for scalable and standardized analytical schemes to translate sequencing data into comparable genotypic information across laboratories and data sets. The core genome multilocus sequence typing (cgMLST) method analyzes WGS data to generate standardized allelic profiles, enabling results to be compared across laboratories without sharing raw data. In Salmonella, the hierarchical clustering of cgMLST (HierCC) approach further organizes isolates into discrete, nested clusters at multiple genetic distance levels (10). Each cluster assignment provides an easily interpretable measure of relatedness between strains, eliminating the need for routine phylogenetic tree reconstruction.
In Taiwan, HierCC has been applied to investigate long-term population shifts of S. Typhimurium. An analysis of isolates collected between 2004 and 2019 showed that most strains belonged to seven major HC100 clones, which differ by more than 100 core genes (11). Among these, HC100_13 was particularly notable. It is further divided into two HC50 subclones, defined as groups differing by 50 or fewer core genes, namely HC50_13 and HC50_6770, which were associated with distinct resistance profiles and plasmid types (11). These findings highlight the utility of HierCC in resolving the genomic population structure of S. Typhimurium and provide a framework for monitoring the emergence of highly resistant lineages in Taiwan. In parallel, the NCBI Pathogen Detection system organizes genomes into SNP clusters. These serve as single-level categories of closely related isolates and are useful for broad genomic comparisons, but they lack the hierarchical resolution offered by HierCC.
In 2023–2024, an outbreak of azithromycin-resistant extensively drug-resistant (AziR-XDR) S. Typhimurium was detected in central and southern Taiwan. These strains posed a serious therapeutic challenge because they were resistant to all traditional first-line antimicrobials, fluoroquinolones, third-generation cephalosporins, and azithromycin. In this study, we investigated the epidemiological trends and genomic features of AziR-XDR isolates in the context of local S. Typhimurium population structure. Using WGS-based approaches, we focused on the resistance determinants, their plasmid backbones, and the phylogenetic relationships that define this emerging highly resistant clade. Together, these analyses provide insights into how MDR S. Typhimurium has evolved locally into highly resistant lineages and highlight the implications for surveillance and containment strategies in Taiwan.
RESULTS
Epidemiology of Azi-XDR S. Typhimurium
The HC100_13 clone represents one of the major S. Typhimurium lineages, identified by PFGE pattern clustering and confirmed by WGS-based HierCC analysis as previously described (11), defined as isolates differing by ≤100 core genes. Overall, HC100_13 clone accounted for 9.0% of all S. Typhimurium isolates collected between 2004 and 2024 (Table S1). Although this clone was rarely detected before 2014, its frequency increased substantially in subsequent years. Within the HC100_13 cluster, a distinct sublineage emerged that exhibited reduced susceptibility to ciprofloxacin and resistance to multiple antimicrobial classes, including ampicillin, azithromycin, third-generation cephalosporins (cefotaxime and ceftazidime), chloramphenicol, gentamicin, sulfamethoxazole, trimethoprim, and tetracycline. Isolates belonging to this sublineage were designated as AziR-XDR.
AziR-XDR S. Typhimurium strains were first identified in 2016 and showed a sharp rise in 2023 (Fig. 1). This marked increase was primarily driven by the expansion of the AziR-XDR sublineage within HC100_13. HC100_13 accounted for 38.9% (170/437) of all S. Typhimurium isolates in 2023, of which 34.8% (152/437) were AziR-XDR (Table S1).
Fig 1.
Temporal trends of Salmonella enterica serovar Typhimurium HC100_13 clone and AziR-XDR strains in Taiwan, 2004–2024. The number of AziR-XDR S. Typhimurium isolates for each year is shown. Detailed numerical data are summarized in Table S1.
Extraintestinal infection rates were compared among seven major S. Typhimurium HC100 clones, HC100_2, HC100_13, HC100_41, HC100_310, HC100_305, HC100_501, and HC100_46261, based on isolates collected in Taiwan between 2004 and 2024 (Table S2). Chi-square analysis indicated significant differences among clones (P < 0.0001), with particularly high rates observed in HC100_501 (36.82%) and HC100_305 (20.37%). The extraintestinal infection rate for HC100_13 was 5.43%. Within this clone, there was no significant difference in extraintestinal infection rates between AziR-XDR and other HC100_13 isolates (P = 0.1811). Further analysis also showed no significant differences between the two groups in sex distribution (P = 0.8806) or age group distribution (P = 0.9513).
Genomic characteristics of MDR and AziR-XDR S. Typhimurium strains
To investigate the phylogeny, ARGs, and associated mobile genetic elements, we conducted whole-genome sequencing of 45 MDR and 15 AziR-XDR S. Typhimurium isolates. Enterobase HierCC assignments showed that the isolates belonged to two subclones, HC50_13 (n = 51) and HC50_6770 (n = 9) (Table S3). These two subclones displayed distinct resistance and plasmid profiles. Within each subclone, however, isolates were highly clonal. All HC50_13 isolates belonged to the same HC20 cluster (HC20_152604), with 47 further grouped into HC10_152604, while all HC50_6770 isolates fell within the same HC10 cluster (HC10_32544). The NCBI Pathogen Detection pipeline assigned all HC50_13 isolates to SNP cluster PDS000042202, and HC50_6770 isolates to cluster PDS000042407.
The two HC50 subclones displayed distinct plasmid profiles. All HC50_13 isolates carried type 2 IncC plasmids, whereas all HC50_6770 isolates harbored plasmids with IncFIA(HI1), IncHI1A, IncHI1B(R27), and IncQ1 replicons (Table S4). HC50_13 isolates carried 7–19 ARGs, while HC50_6770 isolates carried 8–12 ARGs (Table S3). Among the HC50_13 isolates, nine ARGs, aac(3)-IId, aph(6)-Id, blaTEM-1, sul2, tet(A), floR, sul1, blaDHA-1, and aph(3’’)-Ib, were detected in 90.2%–100% of isolates (Table S5). In contrast, all HC50_6770 isolates carried seven core ARGs, including aadA2, aph(3’’)-Ib, aph(3’)-Ia, aph(6)-Id, dfrA12, sul2, and tet(B), with most (8 of 9) additionally harboring aac(3)-IId, blaTEM-1, and bleO.
Complete genome assemblies and associated ARG-carrying plasmids
To define the genomic context of ARGs, we generated complete genomes for 25 (23 HC50_13 and 2 HC50_6770) isolates using ONT sequencing. Assemblies showed that ARGs were borne on plasmids with diverse replicon profiles (Table 1). All HC50_13 isolates carried type 2 IncC plasmids harboring 7–14 ARGs. By contrast, both HC50_6770 isolates carried a hybrid plasmid with IncFIA(HI1)–IncHI1A–IncHI1B(R27)–IncQ1 replicons and 10 ARGs. Additional hybrid plasmids were also found among HC50_13 isolates, including IncHI2–IncHI2A, IncHI1A–IncHI1B(R27), and IncFIA(HI1)–IncHI1A–IncHI1B(R27), each harboring 7–9 ARGs. IncI1-I(α) plasmids were associated with blaCMY-2 and macrolide resistance genes erm(B) and erm(42); IncFIB(pHCM2) plasmids carried dfrA51; IncN plasmids carried blaCTX-M-65; and IncB/O/K/Z plasmids carried blaCTX-M-14 and erm(B).
TABLE 1.
Complete genome assemblies and ARG-carrying plasmids in 2 HC50_6770 and 23 HC100_13 Salmonella enterica serovar Typhimurium isolates from Taiwan, 2007–2024a
| IsolateID | Year | AssemblyID | Length (bp) | Replicon | ARGs | MDR gene cluster |
|---|---|---|---|---|---|---|
| CC07.136 | 2007 | CC07.136_chr | 4,790,990 | |||
| pCC07.136_234k | 234,102 | IncFIA(HI1)-IncHI1A-IncHI1B(R27)-IncQ1 | aac(3)-IId, aadA2, aph(3'')-Ib, aph(3')-Ia, aph(6)-Id, blaTEM, bleO, dfrA12, sul2, tet(B) | |||
| pCC07.136_87k | 87,749 | IncB/O/K/Z | blaCTX-M-14, erm(B) | |||
| NL08.094 | 2008 | NL08.094_chr | 4,790,990 | |||
| pNL08.094_234k | 234,102 | IncFIA(HI1)-IncHI1A-IncHI1B(R27)-IncQ1 | aac(3)-IId, aadA2, aph(3'')-Ib, aph(3')-Ia, aph(6)-Id, blaTEM, bleO (partial), dfrA12, sul2, tet(B) | |||
| D151 | 2012 | D151_chr | 4,788,170 | |||
| pD151_158k | 158,762 | IncC | aac(3)-IId, aadA2, aph(3'')-Ib, aph(3')-Ia, aph(6)-Id, blaDHA-1, blaTEM-1, floR, sul1, sul2, tet(A) | A2 | ||
| D154 | 2012 | D154_chr | 4,790,089 | |||
| pD154_158k | 158,762 | IncC | aac(3)-IId, aadA2, aph(3'')-Ib, aph(3')-Ia, aph(6)-Id, blaDHA-1, blaTEM-1, floR, sul1, sul2, tet(A) | A2 | ||
| R16.0248 | 2014 | R16.0248_chr | 4,792,713 | |||
| pR16.0248_193k | 193,757 | IncHI1A-IncHI1B(R27) | aadA1, aadA2, aadA22, blaTEM-1, bleO (partial), dfrA12, floR, lnu(F), qnrS1, sul3 | |||
| pR16.0248_152k | 152,329 | IncC | aac(3)-IId, aadA2, aph(3'')-Ib, aph(3')-Ia, aph(6)-Id, blaTEM-1, floR, sul1, sul2, tet(A) | A1 | ||
| pR16.0248_41k | 41,725 | IncN | blaCTX-M-65 | |||
| R16.0567 | 2014 | R16.0567_chr | 4,827,249 | |||
| pR16.0567_275k | 275,789 | IncHI2-IncHI2A | aac(3)-IId, aac(3)-IVa, aadA2, aph(4)-Ia, bleO (partial), dfrA12, lnu(F), mcr-9.1 | |||
| pR16.0567_158k | 158,762 | IncC | aac(3)-IId, aadA2, aph(3'')-Ib, aph(3')-Ia, aph(6)-Id, blaDHA-1, blaTEM-1, floR, sul1, sul2, tet(A) | A2 | ||
| SD14.124 (R14.0938) | 2014 | SD14.124_chr | 4,790,064 | |||
| pSD14.124_207k | 207,551 | IncFIA(HI1)-IncHI1A-IncHI1B(R27) | aadA1, aadA2, aadA22, blaTEM-1, bleO (partial), dfrA12, floR, lnu(F), qnrS1, sul3 | |||
| pSD14.124_185k | 185,938 | IncC | aac(3)-IId, aadA2, aph(3'')-Ib, aph(3')-Ia, aph(6)-Id, blaDHA-1, blaTEM-1, floR, sul1, sul2, tet(A) | A2 | ||
| R15.0455 | 2015 | R15.0455_chr | 4,792,679 | |||
| pR15.0455_142k | 142,637 | IncC | aac(3)-IId, aph(3'')-Ib, aph(6)-Id, blaTEM-1, floR, sul2, tet(A) | O | ||
| R16.1923 | 2016 | R16.1923_chr | 4,790,128 | |||
| pR16.1923_170k | 170,704 | IncC | aac(3)-IId, aadA2, aph(3'')-Ib, aph(3')-Ia, aph(6)-Id, blaDHA-1, blaTEM-1, dfrA17, floR, mph(A), qnrB, sul1, sul2, tet(A) | A4 | ||
| pR16.1923_100k | 100,140 | IncI1-I(Alpha) | blaCMY-2 | |||
| R16.2845 | 2016 | R16.2845_chr | 4,767,087 | |||
| pR16.2845_161k | 161,012 | IncC | aac(3)-IId, aph(3'')-Ib, aph(6)-Id, blaDHA-1, blaTEM-1, dfrA17, floR, mph(A), qnrB, sul1, sul2, tet(A) | B1 | ||
| pR16.2845_95k | 95,080 | IncI1-I(Alpha) | blaCMY-2 | |||
| R17.0121 | 2017 | R17.0121_chr | 4,790,067 | |||
| pR17.0121_164k | 164,058 | IncC | aac(3)-IId, aph(3'')-Ib, aph(6)-Id, blaDHA-1, blaTEM-1, dfrA17, floR, mph(A), qnrB, sul1, sul2, tet(A) | B1 | ||
| R17.1451 | 2017 | R17.1451_chr | 4,790,379 | |||
| pR17.1451_p159k | 159,330 | IncC | aac(3)-IId, aadA2, aph(3'')-Ib, aph(3')-Ia, aph(6)-Id, blaDHA-1, blaTEM-1, dfrA14, floR, sul1, sul2, tet(A) | A3 | ||
| pR17.1451_p102k | 102,507 | IncI1-I(Alpha) | blaCMY-2, erm(B), sul2 (partial), tet(M) | |||
| R17.3494 | 2017 | R17.3494_chr | 4,790,068 | |||
| pR17.3494_161k | 161,012 | IncC | aac(3)-IId, aph(3'')-Ib, aph(6)-Id, blaDHA-1, blaTEM-1, dfrA17, floR, mph(A), qnrB, sul1, sul2, tet(A) | B1 | ||
| R18.0292 | 2018 | R18.0292_chr | 4,790,069 | |||
| pR18.0292_200k | 199,721 | IncC | aac(3)-IId, aadA2, aph(3'')-Ib, aph(3')-Ia, aph(6)-Id, blaDHA-1, blaTEM-1, floR, mph(A), qnrB, sul1, sul2, tet(A) | A5 | ||
| pR18.0292_89k | 88,662 | IncI1-I(Alpha) | erm(42) | |||
| R18.1932 | 2018 | R18.1932_chr | 4,790,068 | |||
| pR18.1932_161k | 161,012 | IncC | aac(3)-IId, aph(3'')-Ib, aph(6)-Id, blaDHA-1, blaTEM-1, dfrA17, floR, mph(A), qnrB, sul1, sul2, tet(A) | B1 | ||
| R19.1295 | 2019 | R19.1295_chr | 4,790,066 | |||
| pR19.1295_161k | 161,012 | IncC | aac(3)-IId, aph(3'')-Ib, aph(6)-Id, blaDHA-1, blaTEM-1, dfrA17, floR, mph(A), qnrB, sul1, sul2, tet(A) | B1 | ||
| R21.1488 | 2021 | R21.1488_chr | 4,790,067 | |||
| pR21.1488_161k | 161,022 | IncC | aac(3)-IId, aph(3'')-Ib, aph(6)-Id, blaDHA-1, blaTEM-1, dfrA17, floR, mph(A), qnrB, sul1, sul2, tet(A) | B1 | ||
| R22.1282 | 2022 | R22.1282_chr | 4,790,066 | |||
| pR22.1282_161k | 161,022 | IncC | aac(3)-IId, aph(3'')-Ib, aph(6)-Id, blaDHA-1, blaTEM-1, dfrA17, floR, mph(A), qnrB, sul1, sul2, tet(A) | B1 | ||
| R22.1933 | 2022 | R22.1933_chr | 4,790,067 | |||
| pR22.1933_161k | 161,022 | IncC | aac(3)-IId, aph(3'')-Ib, aph(6)-Id, blaDHA-1, blaTEM-1, dfrA17, floR, mph(A), qnrB, sul1, sul2, tet(A) | B1 | ||
| R23.0439 | 2023 | R23.0439_chr | 4,790,066 | |||
| pR23.0439_162k | 162,339 | IncC | aac(3)-IId, aph(3'')-Ib, aph(6)-Id, blaDHA-1, blaTEM-1, dfrA17, floR, mph(A), qnrB, sul1, sul2, tet(A) | B1_v | ||
| pR23.0439_104k | 104,584 | IncFIB(pHCM2) | dfrA51 | |||
| R23.0441 | 2023 | R23.0441_chr | 4,790,066 | |||
| pR23.0441_162k | 162,339 | IncC | aac(3)-IId, aph(3'')-Ib, aph(6)-Id, blaDHA-1, blaTEM-1, dfrA17, floR, mph(A), qnrB, sul1, sul2, tet(A) | B1_v | ||
| pR23.0441_104k | 104,584 | IncFIB(pHCM2) | dfrA51 | |||
| R23.0682 | 2023 | R23.0682_chr | 4,790,066 | |||
| pR23.0682_162k | 162,339 | IncC | aac(3)-IId, aph(3'')-Ib, aph(6)-Id, blaDHA-1, blaTEM-1, dfrA17, floR, mph(A), qnrB, sul1, sul2, tet(A) | B1_v | ||
| pR23.0682_104k | 104,584 | IncFIB(pHCM2) | dfrA51 | |||
| R23.1695 | 2023 | R23.1695_chr | 4,790,066 | |||
| pR23.1695_162k | 162,339 | IncC | aac(3)-IId, aph(3'')-Ib, aph(6)-Id, blaDHA-1, blaTEM-1, dfrA17, floR, mph(A), qnrB, sul1, sul2, tet(A) | B1_v | ||
| pR23.1695_104k | 104,584 | IncFIB(pHCM2) | dfrA51 | |||
| R23.2184 | 2023 | R23.2184_chr | 4,790,066 | |||
| pR23.2184_162k | 162,339 | IncC | aac(3)-IId, aph(3'')-Ib, aph(6)-Id, blaDHA-1, blaTEM-1, dfrA17, floR, mph(A), qnrB, sul1, sul2, tet(A) | B1_v | ||
| pR23.2184_104k | 104,584 | IncFIB(pHCM2) | dfrA51 | |||
| R24.0342 | 2024 | R24.0342_chr | 4,830,862 | |||
| pR24.0342_162k | 162,339 | IncC | aac(3)-IId, aph(3'')-Ib, aph(6)-Id, blaDHA-1, blaTEM-1, dfrA17, floR, mph(A), qnrB, sul1, sul2, tet(A) | B1_v | ||
| pR24.0342_104k | 104,584 | IncFIB(pHCM2) | dfrA51 |
Only chromosomes and plasmids carrying ARGs are listed.
MDR gene clusters in IncC plasmids
Comparative analysis of IncC plasmids from MDR and AziR-XDR S. Typhimurium isolates identified seven distinct MDR gene clusters. A plasmid carrying the MDR gene cluster O likely represented the ancestral configuration, harboring seven ARGs, including blaTEM-1, aac(3)-IId, floR, tet(A), aph(6)-Id, aph(3'')-Ib, and sul2 (Fig. 2). The segment containing blaTEM-1 and aac(3)-IId was flanked by IS26 and observed in either orientation among the derived MDR gene clusters. The plasmid harboring MDR gene cluster O represented the conserved backbone from which plasmids carrying clusters A1–A5, B1, and B1_v were derived.
Fig 2.
Genetic map of plasmid pR15.0455_142k, which contains the MDR gene cluster O and represents the conserved backbone shared among IncC plasmids carrying MDR gene clusters A1–A5, B, and B1_v. Most variants of the MDR gene cluster were generated through recombination-mediated integration of additional ARGs and accessory genes at the IS26 adjacent to a 165-aa hypothetical protein (HPX), indicated by a red arrow. Functional gene categories are color-coded as shown in the legend.
Among the MDR gene clusters, most variations resulted from the integration of additional ARGs and accessory genes through IS26-mediated homologous recombination at the IS26 adjacent to a 165 amino-acid hypothetical protein, designated HPX (Fig. 3), as evidenced by the absence of 8-bp target site duplications at the IS26 junctions. Compared with MDR gene cluster O, cluster A1 contained an inserted segment comprising IS26, aph(3’)-Ia, sul1, aadA2, and several accessory genes. Cluster A2 carried an additional segment containing blaDHA-1, sul1, and other accessory genes relative to A1, whereas cluster A3 was nearly identical to cluster A2 but had dfrA14 in place of aph(3’’)-Ib. Cluster A4 acquired a segment with three additional ARGs, qnrB, dfrA17, and mph(A), relative to A2. Cluster A5, compared with cluster A4, contained five additional tandem copies of blaDHA-1 and sul1 but lacked dfrA17 and aadA2. Cluster B1 lacked the aph(3’)-Ia–sul1–aadA2 cassette found in clusters A1–A4 but included an insertion containing five ARGs, dfrA17, qnrB, blaDHA-1, sul1, and mph(A), at the HPX–IS26 site. Cluster B1_v shared the same ARG composition as cluster B1 but contained an additional IS5075 element.
Fig 3.
Comparative organization of MDR gene clusters in IncC plasmids from multidrug-resistant (MDR) and azithromycin-resistant, extensively drug-resistant (AziR-XDR) Salmonella enterica serovar Typhimurium isolates. Antimicrobial resistance genes (ARGs), insertion sequences (IS26, IS5075, IS6100), and other relevant genetic elements are color-coded. Open reading frames (ORFs) other than ARGs, the hypothetical protein (HPX), and IS elements are shown in white. The red arrowhead indicates the conserved IS26 site mediating integration of additional ARGs and accessory genes. The azithromycin resistance gene mph(A) is located within an IS6100–IS26–flanked segment. ARG cluster patterns A4, B1, and B1_v were identified in plasmids from AziR-XDR isolates, whereas the remaining patterns were observed in plasmids from MDR isolates.
Clusters A4, B1, and B1_v were exclusively observed in AziR-XDR isolates. Cluster B1_v emerged in 2023 and subsequently became the predominant type, whereas cluster A4 was infrequently detected. The azithromycin-resistance gene, mph(A), was arranged in the genetic structure of IS26-mph(A)-mrx(A)-mphR(A)-IS6100.
Distribution of IS26-flanked ARG modules across plasmid backbones and species
To examine the distribution of the IS26-flanked 5-ARG segment harboring dfrA17, qnrB, blaDHA-1, sul1, and mph(A), identified in MDR gene cluster B, we compared the corresponding sequence region (18,007–37,086 nt of pR18.1932_161k; accession no. CP100733.1) against the NCBI database using BLAST. Among the 100 top hits, 37 plasmids and 2 chromosomes from 8 bacterial species carried the complete 5-ARG segment (Table S6). The species included Citrobacter amalonaticus (n = 1), Enterobacter asburiae (n = 1), Enterobacter hormaechei (n = 3), Escherichia coli (n = 24), Klebsiella pneumoniae (n = 3), Salmonella enterica (n = 2), Shigella flexneri (n = 2), and Shigella sonnei (n = 3) (Table S7). Among the 37 plasmids, 33 carried an IncFII replicon or its variant IncFII(pRSB107), and 13 were hybrid plasmids with multiple replicons. Of the remaining four plasmids, three carried IncHI2–IncHI2A replicons and one carried IncHI1A(NDM-CIT)–IncHI1B(pNDM-CIT) replicons (Table S7). Both chromosomes also contained plasmid replicons, Col156–IncFII and IncQ1, respectively, indicating an association between the 5-ARG segment and IncFII plasmids. In addition, BLAST searches identified a related IS26-flanked four-ARG (4-ARG) segment carrying four ARGs, qnrB, blaDHA-1, sul1, and mph(A), but lacking the IS26-dfrA17 element, in 37 additional plasmids and 3 chromosomes from six Enterobacteriaceae species (Table S8). Of these plasmids, 21 carried an IncR replicon, 12 had an IncF replicon or IncF-variants, 3 belonged to the IncHI family, and 1 was an IncC plasmid. Plasmids carrying either the IS26-flanked 5-ARG or 4-ARG segment were generally large (49–368 kb) and frequently exhibited multireplicon architectures. Collectively, these findings indicate that IS26-flanked ARG modules circulate widely across Enterobacteriaceae, with IncFII and IncR plasmids serving as the primary reservoirs. In Salmonella, these modules have been identified on IncC, IncFII, and IncHI2–IncHI2A–IncX1 plasmids (Tables S7 and S8). The presence of IS26-flanked 5-ARG and 4-ARG segments in multiple plasmid backbones highlights that Salmonella can acquire such resistance determinants from diverse sources, suggesting that horizontal transfer plays a key role in shaping the resistome of pathogenic Salmonella.
DISCUSSION
Our findings demonstrate that AziR-XDR S. Typhimurium likely evolved locally from MDR ancestors through sequential IS26-mediated acquisitions on type 2 IncC plasmids. As illustrated in Fig. 3, AziR-XDR strains most likely evolved from a prototype plasmid with MDR gene cluster O, which harbored 7 ARGs conferring resistance to ampicillin, chloramphenicol, gentamicin, streptomycin, sulfonamides, and tetracycline but not to trimethoprim. The subsequent acquisition of dfrA17, blaDHA-1, qnrB, sul1, and mph(A), whether through stepwise accumulation (MDR gene cluster O → A1 → A2 → A4) or direct integration (MDR gene cluster B), conferred additional resistance to trimethoprim-sulfamethoxazole, fluoroquinolones, and third-generation cephalosporins, while also introducing azithromycin resistance, thereby meeting the definition of AziR-XDR.
Clinically, this is concerning because azithromycin and carbapenems remain critical therapeutic options for XDR S. Typhi and invasive NTS infections (4, 7, 12). The emergence and dissemination of AziR-XDR S. Typhimurium, thus, present a major challenge for patient management. Importantly, IncC plasmids are self-transmissible plasmids capable of mobilizing ARGs across diverse Proteobacteria hosts (13–15). Thus, their broad host range of conjugative transfer facilitates the spread of resistance, increasing the associated public health risk due to AziR-XDR phenotypes in Salmonella.
Among the MDR and AziR-XDR isolates examined, we identified seven distinct IncC-borne ARG architectures (MDR gene clusters O, A1–A5, B1, and B1_v) (Fig. 3). An IncC plasmid with MDR gene cluster O represents the ancestral configuration, whereas subsequent variants evolved through repeated IS26-mediated insertions, rearrangements, and deletions at the conserved HPX–IS26 site. Consistent with our BLAST survey (Tables S7 and S8), the IS26 flanked 5-ARG (dfrA17, qnrB, blaDHA-1, sul1, and mph(A) segment, and a cognate 4-ARG (qnrB, blaDHA-1, sul1, and mph(A)) segment, are widespread on large, often multireplicon plasmids, predominantly IncFII, IncHI, and IncR across many Enterobacteriaceae species, which likely serve as reservoirs from which IncC in Salmonella can acquire these ARG cassettes. Such remodeling also generated alternative configurations, exemplified by MDR gene cluster A5, which carries six tandem copies of a sul1–blaDHA-1 cassette but lacks dfrA17. Although A5 is not AziR-XDR because trimethoprim resistance is absent, it retains qnrB and mph(A), sustaining fluoroquinolone and azithromycin resistance. These outcomes are consistent with the known activities of IS26, including the assembly and capture of multi-gene segments as pseudo-compound transposons and translocatable units, together with targeted conservative cointegration and tandem amplification, which provide a parsimonious route for cassette gain, loss, and expansion on the observed IncC plasmids (16). These interpretations are also consistent with Allain et al. (15), who demonstrated that IncC plasmids undergo extensive IS26-driven remodeling of antibiotic resistance islands, including cassette insertions, deletions, and amplifications at conserved junctions, and thereby generate diverse ARG architectures.
In Taiwan, XDR NTS has mainly been found in S. Anatum and S. Goldcoast. XDR S. Anatum was first identified in 2015, carrying 11 ARGs, aadA2, blaDHA-1, dfrA23, floR, lnu(F), qnrB4, aph(3”)-Ib, aph(6)-Id, sul1, sul2, and tet(A), on a 90-kb IncC plasmid; following the emergence of these XDR S. Anatum strains, the proportion of S. Anatum isolates increased sharply (13). XDR S. Goldcoast was first detected in 2017, and its prevalence increased rapidly thereafter. These strains commonly harbored 14 ARGs (aac(3)-IId, aadA22, aph(3’)-Ia, aph(6)-Id, arr-2, blaCTX-M-55, blaTEM-1B, dfrA14, floR, lnu(F), qnrS13, sul2, sul3, and tet(A)), together with ramAp, an activator of efflux pump expression, on a large IncHI2 plasmid (17, 18). XDR S. Typhimurium strains were occasionally observed. AziR-XDR S. Typhimurium within the HC50_13 subclone was first identified in 2016, and its proportion markedly increased after 2021, accounting for 34.8% of S. Typhimurium isolates and 9.3% (152/1,635) of all Salmonella isolates in 2023 (Table S1). As IncC plasmids are well documented as self-transmissible elements capable of mobilizing ARGs across diverse bacterial hosts (13–15), the presence of AziR-XDR determinants on IncC plasmids in S. Typhimurium suggests that these strains may readily disseminate resistance determinants via horizontal transfer.
Notably, comparable trends have been documented in sub-Saharan Africa for invasive S. Typhimurium ST313. Van Puyvelde et al. reported the emergence of XDR S. Typhimurium ST313 in multiple countries (19, 20). In addition, pandrug-resistant (PDR) S. Typhimurium ST313 strains, functionally equivalent to the AziR-XDR phenotype described here, as they remained susceptible only to meropenem, were independently detected at three geographically distinct sites in the Democratic Republic of the Congo. These XDR and PDR ST313 isolates were strongly linked to IncHI2 and IncI1 plasmids (19), whereas in Taiwan, AziR-XDR S. Typhimurium strains predominantly harbor ARGs on IncC plasmids. Collectively, these observations highlight that distinct plasmid backbones can mediate the convergence of resistance determinants. Still, the public health implication remains the same: once established, AziR-XDR strains are primed for rapid regional and interregional dissemination, posing a serious global health threat.
Our analysis of 51 HC50_13 MDR and AziR-XDR isolates, recovered between 2012 and 2024 from humans, ducks, pigs, and chicken meat, revealed that these strains are highly related, all belonging to HC20_152604. The genomic differences among them were within 20 core genes, despite being collected over 13 years. According to the NCBI Pathogen Detection database, these isolates are assigned to SNP cluster PDS000042202. As of August 26, 2025, this cluster comprised 52 isolates, with only one strain (BioSample no. SAMN20181414) originating from Ontario, Canada, in 2015, while all others were from Taiwan. These findings indicate that the HC20_152604 (PDS000042202) clade has been predominantly circulating in Taiwan, where it has repeatedly acquired additional ARGs, ultimately giving rise to AziR-XDR strains resistant to the traditional first-line antimicrobials, fluoroquinolones, third-generation cephalosporins, and azithromycin.
Previous studies reported that the azithromycin resistance rate among human NTS isolates in Taiwan increased from 3.1% in 2017–2018 to 5.9% in 2021–2022 (1, 8). In the United States, the AST data indicated that the resistance rates were 0.4% in 2017–2018 and 1.6% in 2021–2022 (data obtained from the Centers for Disease Control and Prevention; https://www.cdc.gov/ncezid/dfwed/beam-dashboard.html/). In Europe, the rates were 0.5%, 0.6%, and 0.9% in 2021, 2022, and 2023, respectively (21–23). These findings indicate that azithromycin resistance in Taiwan NTS isolates is substantially higher than in the United States and Europe though an increasing trend is observed across all three regions.
In conclusion, although the HC50_13 subclone of S. Typhimurium is widely distributed, the MDR and AziR-XDR strains analyzed here fall within a distinct clade, HC20_152604 (SNP cluster PDS000042202). This clade has been detected almost exclusively in Taiwan, suggesting a local origin followed by repeated IS26-mediated acquisitions of resistance determinants on IncC plasmids. To date, there is no evidence of significant dissemination beyond Taiwan. The emergence of AziR-XDR strains, resistant to the traditional first-line antimicrobials, fluoroquinolones, third-generation cephalosporins, and azithromycin, poses a major clinical challenge by leaving very few therapeutic options available. To contain this clade, ongoing genomic surveillance, reinforced antimicrobial stewardship, and monitoring of animal and food reservoirs will be essential. Future studies should further investigate the evolutionary dynamics and ecological fitness of AziR-XDR strains, as well as their potential for international spread through trade, travel, or zoonotic transmission.
MATERIALS AND METHODS
Bacterial isolates and epidemiologic metadata
Salmonella isolates were obtained from human salmonellosis cases through PulseNet Taiwan, a national molecular surveillance network established in 2004. The system collects isolates via collaborating hospitals across Taiwan. The surveillance was approved by the Institutional Review Board of the Taiwan Centers for Disease Control (Taiwan CDC). Species identification was confirmed using the MALDI Biotyper system (Bruker Corp., USA). Genotyping was conducted using the standardized PulseNet pulsed-field gel electrophoresis (PFGE) protocol (24), and serotypes were assigned by comparing PFGE patterns with those in the Taiwan CDC Salmonella PFGE database (25). This study included S. Typhimurium isolates collected between 2004 and 2024. Epidemiologic metadata, including year of isolation, patient age, sex, and infection site, were provided by the submitting hospitals or obtained from the Laboratory Automated Reporting System (LARS) established by the Taiwan CDC. Isolates recovered from blood, cerebrospinal fluid, or other non-intestinal sites were classified as extraintestinal, whereas those from stool, anal swabs, or rectal swabs were classified as intestinal.
Antimicrobial susceptibility testing
AST was performed using the EUVSEC3 Sensititre MIC panel (TREK Diagnostic Systems Ltd., West Essex, England), which contains 15 antimicrobial agents selected according to the European Union protocol for antimicrobial resistance (AMR) monitoring in Salmonella spp.https://www.ncbi.nlm.nih.gov/biosample/SAMN20181414/ (22). The antimicrobial agents were chosen for their clinical relevance and public health importance. Minimum inhibitory concentration (MIC) results were interpreted using Clinical and Laboratory Standards Institute (CLSI) breakpoints for Enterobacterales (26), covering amikacin, ampicillin, azithromycin, cefotaxime, ceftazidime, chloramphenicol, ciprofloxacin, colistin, gentamicin, meropenem, nalidixic acid, sulfamethoxazole, tetracycline, and trimethoprim. For tigecycline, no interpretative criteria are provided by CLSI, and the European Committee on Antimicrobial Susceptibility Testing (EUCAST) has not established an epidemiological cutoff value (ECOFF) for Salmonella; therefore, we adopted the EU surveillance system’s resistance breakpoint of > 0.5 mg/L (22). For ciprofloxacin, MIC values were interpreted using CLSI criteria, where isolates were considered susceptible at MIC < 0.125 mg/L, intermediate (reduced susceptible) at MIC = 0.125–0.5 mg/L, and resistant at MIC ≥ 1 mg/L.
MDR strains were defined as those resistant to at least three different classes of antimicrobials. XDR strains were defined, following the S. Typhi definition, as those resistant to the three traditional first-line antimicrobials (ampicillin, chloramphenicol, and trimethoprim-sulfamethoxazole), plus a fluoroquinolone (e.g., ciprofloxacin) and a third-generation cephalosporin (e.g., cefotaxime or ceftriaxone) (27). Given that even reduced ciprofloxacin susceptibility (MIC 0.125–0.5 mg/L) can significantly compromise clinical outcomes, including prolonged fever clearance time and treatment failure (28, 29), we further classified strains with reduced ciprofloxacin susceptibility, together with resistance to the first-line antimicrobials and either cefotaxime or ceftazidime, as XDR. AziR-XDR strains were defined as XDR strains that also exhibited resistance to azithromycin.
Whole-genome sequencing and analysis
Sixty S. Typhimurium isolates were selected for WGS, including 45 MDR and 15 AziR-XDR strains, recovered between 2007 and 2024 from humans (n = 54), ducks (n = 4), pig (n = 1), and chicken meat (n = 1) (Table S3). All 60 isolates were initially sequenced using Illumina short-read technology. WGS of 53 isolates was performed by the Taiwan CDC, and 7 isolates by Dr. Achtman’s team at the Wellcome Sanger Institute and the University of Warwick. Among these, 25 selected isolates were further sequenced using the Oxford Nanopore Technologies (ONT) platform to generate long reads for complete genome assembly. Genomic DNA was extracted using the DNeasy Blood & Tissue Kit (cat. #69506, Qiagen, Hilden, Germany) according to the manufacturer’s instructions. Short-read libraries were prepared using the Illumina DNA Prep kit (cat. IL20018705, Illumina Inc., San Diego, CA, USA), which includes tagmentation of genomic DNA, bead-based cleanup, PCR amplification with adapters, and final purification. Illumina sequencing was performed on the MiSeq platform (Illumina Inc.), using a 2 × 300 bp paired-end configuration, and all isolates achieved a depth of coverage > 30 ×. Raw reads were processed using fastp (https://github.com/OpenGene/fastp) for quality filtering and adapter removal, and de novo assemblies were processed using SPAdes v3.15.3 (30). Low-quality contigs were excluded based on length (<200 bp), read coverage (<2×), or homopolymer composition. Assemblies were analyzed using AMRFinderPlus (31) to identify antimicrobial resistance determinants, SISTR (https://github.com/phac-nml/sistr_cmd) for in silico serotype prediction, and PlasmidFinder (http://www.genomicepidemiology.org) to identify plasmid incompatibility (replicon) types. IncC plasmid typing was performed according to the classification scheme described by Ambrose et al. (32) based on sequence analysis of specific marker genes (rhs1/rhs2 and orf1832/1847) in comparison with the reference IncC plasmids pR148 (type 1, GenBank accession no. JX141473) and R55 (type 2, GenBank accession no. JQ010984). For the selected 25 isolates, long-read sequencing was performed on the MinION platform (Oxford Nanopore Technologies, Oxford, UK) using R10.4.1 flow cells. Raw signal data (POD5) were basecalled with Dorado v0.5.0 using the SUP4.3+ mode to generate FASTQ reads. Long-read sequences of each isolate were assembled using Flye v2.9.6 (https://github.com/mikolmogorov/Flye). The assembled circular sequences were reoriented using dnaapler v1.2.0 (https://github.com/gbouras13/dnaapler), and polished using Medaka v2.0.1 (https://github.com/nanoporetech/medaka).
Illumina reads were uploaded to EnteroBase (https://enterobase.warwick.ac.uk/) to obtain HierCC clustering assignments at multiple levels. In this framework, isolates differing by >100 core genes were considered distinct clones (HC100), those differing by ≤50 core genes as subclones (HC50), and those differing by ≤20 core genes as clades (HC20), representing groups of very high genetic similarity. All WGS data are publicly available in the NCBI database, and the corresponding accession numbers are listed in Table S3. To assess genomic relatedness with publicly available genomes, we used the NCBI Pathogen Detection system (https://www.ncbi.nlm.nih.gov/pathogens/), which automatically assigns isolates to SNP clusters. These SNP clusters provide single-level groupings of closely related isolates that are useful for broad genomic comparisons but lack the hierarchical resolution of HierCC.
For cross-clone comparisons of infection type and demographic distribution, HC100 clones were determined for S. Typhimurium isolates obtained between 2004 and 2024, using PFGE clustering with representative WGS-based HierCC assignments as described previously (11).
Comparative analysis of IS26-flanked antimicrobial resistance gene segments
The IS26-flanked segment containing dfrA17, qnrB, blaDHA-1, sul1, and mph(A), named as 5-ARG segment, in pR18.1932_161k (GenBank accession no. CP100733.1; positions 18,007–37,086 nt) was queried against the NCBI nucleotide collection using BLAST. The sequences of the top 100 BLAST hits were downloaded, and plasmid replicons and ARGs were identified using PlasmidFinder and AMRFinderPlus.
Statistical analysis
Chi-square tests were performed to compare extraintestinal infection rates and demographic (sex and age groups) distributions between major S. Typhimurium clones and between AziR-XDR and non-AziR-XDR isolates within the HC100_13 clone. A P-value of <0.05 was considered statistically significant.
ACKNOWLEDGMENTS
We thank all participating hospitals for providing Salmonella isolates used in this study.
This work was supported by the Ministry of Health and Welfare, Taiwan, under grants MOHW113-CDC-C-315-114110 and MOHW113-CDC-C-315-144310.
Contributor Information
Chien-Shun Chiou, Email: nipmcsc@cdc.gov.tw.
Boudewijn L. de Jonge, Shionogi Inc., Florham Park, New Jersey, USA
DATA AVAILABILITY
Genomic sequences of the 60 S. Typhimurium isolates analyzed in this study are available in the NCBI database under BioProjects PRJNA478278 and PRJEB20997. Accession numbers for individual isolates are provided in Table S3.
SUPPLEMENTAL MATERIAL
The following material is available online at https://doi.org/10.1128/aac.01334-25.
Tables S1 to S8.
ASM does not own the copyrights to Supplemental Material that may be linked to, or accessed through, an article. The authors have granted ASM a non-exclusive, world-wide license to publish the Supplemental Material files. Please contact the corresponding author directly for reuse.
REFERENCES
- 1. Liao YS, Lauderdale TL, Chang JH, Liang SY, Tsao CS, Wei HL, Wang YW, Teng RH, Hong YP, Chen BH, Chiou CS. 2024. Epidemiological trends in serotypes distribution and antimicrobial resistance in Salmonella from humans in Taiwan, 2004-2022. IJID Reg 11:100372. doi: 10.1016/j.ijregi.2024.100372 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Torpdahl M, Lauderdale TL, Liang SY, Li I, Wei SH, Chiou CS. 2013. Human isolates of Salmonella enterica serovar Typhimurium from Taiwan displayed significantly higher levels of antimicrobial resistance than those from Denmark. Int J Food Microbiol 161:69–75. doi: 10.1016/j.ijfoodmicro.2012.11.022 [DOI] [PubMed] [Google Scholar]
- 3. Kuo HC, Lauderdale TL, Lo DY, Chen CL, Chen PC, Liang SY, Kuo JC, Liao YS, Liao CH, Tsao CS, Chiou CS. 2014. An association of genotypes and antimicrobial resistance patterns among Salmonella isolates from pigs and humans in Taiwan. PLoS One 9:e95772. doi: 10.1371/journal.pone.0095772 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Crump JA, Sjölund-Karlsson M, Gordon MA, Parry CM. 2015. Epidemiology, clinical presentation, laboratory diagnosis, antimicrobial resistance, and antimicrobial management of invasive Salmonella infections. Clin Microbiol Rev 28:901–937. doi: 10.1128/CMR.00002-15 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Parry CM, Qamar FN, Rijal S, McCann N, Baker S, Basnyat B. 2023. What should we be recommending for the treatment of enteric fever? Open Forum Infect Dis 10:S26–S31. doi: 10.1093/ofid/ofad179 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Chatham-Stephens K, Medalla F, Hughes M, Appiah GD, Aubert RD, Caidi H, Angelo KM, Walker AT, Hatley N, Masani S, Nash J, Belko J, Ryan ET, Mintz E, Friedman CR. 2019. Emergence of extensively drug-resistant Salmonella Typhi infections among travelers to or from Pakistan - United States, 2016-2018. MMWR Morb Mortal Wkly Rep 68:11–13. doi: 10.15585/mmwr.mm6801a3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Liu PY, Wang KC, Hong YP, Chen BH, Shi ZY, Chiou CS. 2021. The first imported case of extensively drug-resistant Salmonella enterica serotype Typhi infection in Taiwan and the antimicrobial therapy. J Microbiol Immunol Infect 54:740–744. doi: 10.1016/j.jmii.2020.03.017 [DOI] [PubMed] [Google Scholar]
- 8. Chiou CS, Hong YP, Wang YW, Chen BH, Teng RH, Song HY, Liao YS. 2023. Antimicrobial resistance and mechanisms of azithromycin resistance in nontyphoidal Salmonella isolates in Taiwan, 2017 to 2018. Microbiol Spectr 11:e0336422. doi: 10.1128/spectrum.03364-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Didelot X, Bowden R, Wilson DJ, Peto TEA, Crook DW. 2012. Transforming clinical microbiology with bacterial genome sequencing. Nat Rev Genet 13:601–612. doi: 10.1038/nrg3226 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Achtman M, Zhou Z, Charlesworth J, Baxter L. 2022. EnteroBase: hierarchical clustering of 100,000s of bacterial genomes into species/subspecies and populations. Philos Trans R Soc Lond B Biol Sci 377:20210240. doi: 10.1098/rstb.2021.0240 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Chiou CS, Chen BH, Lauderdale TL, Hong YP, Teng RH, Liao YS, Wang YW, Chang JH, Liang SY, Tsao CS, Wei HL. 2023. Epidemiological trends and antimicrobial resistance in Salmonella enterica serovar Typhimurium clones in Taiwan between 2004 and 2019. J Glob Antimicrob Resist 35:128–136. doi: 10.1016/j.jgar.2023.09.005 [DOI] [PubMed] [Google Scholar]
- 12. Hughes MJ, Birhane MG, Dorough L, Reynolds JL, Caidi H, Tagg KA, Snyder CM, Yu AT, Altman SM, Boyle MM, Thomas D, Robbins AE, Waechter HA, Cody I, Mintz ED, Gutelius B, Langley G, Francois Watkins LK. 2021. Extensively drug-resistant typhoid fever in the United States. Open Forum Infect Dis 8:ofab572. doi: 10.1093/ofid/ofab572 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Chiou CS, Hong YP, Liao YS, Wang YW, Tu YH, Chen BH, Chen YS. 2019. New multidrug-resistant Salmonella enterica serovar Anatum clone, Taiwan, 2015-2017. Emerg Infect Dis 25:144–147. doi: 10.3201/eid2501.181103 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Harmer CJ, Hall RM. 2015. The A to Z of A/C plasmids. Plasmid 80:63–82. doi: 10.1016/j.plasmid.2015.04.003 [DOI] [PubMed] [Google Scholar]
- 15. Allain M, Morel-Journel T, Condamine B, Gibeaux B, Gachet B, Gschwind R, Denamur E, Landraud L. 2024. IncC plasmid genome rearrangements influence the vertical and horizontal transmission tradeoff in Escherichia coli. Antimicrob Agents Chemother 68:e0055424. doi: 10.1128/aac.00554-24 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Harmer CJ, Hall RM. 2024. IS26 and the IS26 family: versatile resistance gene movers and genome reorganizers. Microbiol Mol Biol Rev 88:e0011922. doi: 10.1128/mmbr.00119-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Liao YS, Chen BH, Hong YP, Teng RH, Wang YW, Liang SY, Liu YY, Tu YH, Chen YS, Chang JH, Tsao CS, Chiou CS. 2019. Emergence of multidrug-resistant Salmonella enterica serovar Goldcoast strains in Taiwan and international spread of the ST358 clone. Antimicrob Agents Chemother 63:e01122-19. doi: 10.1128/AAC.01122-19 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Hong YP, Wang YW, Chen BH, Song HY, Chiou CS, Chen YT. 2022. RamAp is an efflux pump regulator carried by an IncHI2 plasmid. Antimicrob Agents Chemother 66:e0115221. doi: 10.1128/AAC.01152-21 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Van Puyvelde S, de Block T, Sridhar S, Bawn M, Kingsley RA, Ingelbeen B, Beale MA, Barbé B, Jeon HJ, Mbuyi-Kalonji L, et al. 2023. A genomic appraisal of invasive Salmonella Typhimurium and associated antibiotic resistance in sub-Saharan Africa. Nat Commun 14:6392. doi: 10.1038/s41467-023-41152-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Van Puyvelde S, Pickard D, Vandelannoote K, Heinz E, Barbé B, de Block T, Clare S, Coomber EL, Harcourt K, Sridhar S, Lees EA, Wheeler NE, Klemm EJ, Kuijpers L, Mbuyi Kalonji L, Phoba M-F, Falay D, Ngbonda D, Lunguya O, Jacobs J, Dougan G, Deborggraeve S. 2019. An African Salmonella Typhimurium ST313 sublineage with extensive drug-resistance and signatures of host adaptation. Nat Commun 10:4280. doi: 10.1038/s41467-019-11844-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. European Food Safety Authority, European Centre for Disease Prevention Control . 2024. The European Union summary report on antimicrobial resistance in zoonotic and indicator bacteria from humans, animals and food in 2021–2022. EFSA J 22:e8583. doi: 10.2903/j.efsa.2024.8583 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. European Food Safety Authority, European Centre for Disease Prevention and Control . 2025. The European Union summary report on antimicrobial resistance in zoonotic and indicator bacteria from humans, animals and food in 2022–2023. EFSA J 23:e9237. doi: 10.2903/j.efsa.2025.9237 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. European Food Safety Authority, European Centre for Disease Prevention Control . 2023. The European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021. EFSA J 21:e07867. doi: 10.2903/j.efsa.2023.7867 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Ribot EM, Fair MA, Gautom R, Cameron DN, Hunter SB, Swaminathan B, Barrett TJ. 2006. Standardization of pulsed-field gel electrophoresis protocols for the subtyping of Escherichia coli O157:H7, Salmonella, and Shigella for PulseNet. Foodborne Pathog Dis 3:59–67. doi: 10.1089/fpd.2006.3.59 [DOI] [PubMed] [Google Scholar]
- 25. Chiou CS, Torpdahl M, Liao YS, Liao CH, Tsao CS, Liang SY, Wang YW, Kuo JC, Liu YY. 2015. Usefulness of pulsed-field gel electrophoresis profiles for the determination of Salmonella serovars. Int J Food Microbiol 214:1–3. doi: 10.1016/j.ijfoodmicro.2015.07.016 [DOI] [PubMed] [Google Scholar]
- 26. Clinical and Laboratory Standards Institute (CLSI) . 2025. Performance standards for antimicrobial susceptibility testing. In CLSI Supplement M100, 35th ed. Clinical and Laboratory Standards Institute, Wayne (PA, Wayne (PA). [Google Scholar]
- 27. Marchello CS, Carr SD, Crump JA. 2020. A systematic review on antimicrobial resistance among Salmonella Typhi worldwide. Am J Trop Med Hyg 103:2518–2527. doi: 10.4269/ajtmh.20-0258 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Kadhiravan T, Wig N, Kapil A, Kabra SK, Renuka K, Misra A. 2005. Clinical outcomes in typhoid fever: adverse impact of infection with nalidixic acid-resistant Salmonella typhi. BMC Infect Dis 5:37. doi: 10.1186/1471-2334-5-37 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Slinger R, Desjardins M, McCarthy AE, Ramotar K, Jessamine P, Guibord C, Toye B. 2004. Suboptimal clinical response to ciprofloxacin in patients with enteric fever due to Salmonella spp. with reduced fluoroquinolone susceptibility: a case series. BMC Infect Dis 4:36. doi: 10.1186/1471-2334-4-36 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Bankevich A, Nurk S, Antipov D, Gurevich AA, Dvorkin M, Kulikov AS, Lesin VM, Nikolenko SI, Pham S, Prjibelski AD, Pyshkin AV, Sirotkin AV, Vyahhi N, Tesler G, Alekseyev MA, Pevzner PA. 2012. SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing. J Comput Biol 19:455–477. doi: 10.1089/cmb.2012.0021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Feldgarden M, Brover V, Gonzalez-Escalona N, Frye JG, Haendiges J, Haft DH, Hoffmann M, Pettengill JB, Prasad AB, Tillman GE, Tyson GH, Klimke W. 2021. AMRFinderPlus and the Reference Gene Catalog facilitate examination of the genomic links among antimicrobial resistance, stress response, and virulence. Sci Rep 11:12728. doi: 10.1038/s41598-021-91456-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Ambrose SJ, Harmer CJ, Hall RM. 2018. Evolution and typing of IncC plasmids contributing to antibiotic resistance in Gram-negative bacteria. Plasmid 99:40–55. doi: 10.1016/j.plasmid.2018.08.001 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Tables S1 to S8.
Data Availability Statement
Genomic sequences of the 60 S. Typhimurium isolates analyzed in this study are available in the NCBI database under BioProjects PRJNA478278 and PRJEB20997. Accession numbers for individual isolates are provided in Table S3.